Senior Solutions Architect, Data Platform GTM

Role responsibilities

Drive technical go-to-market strategies with Data Platform ISVs and partner with them on various technical aspects. Support emerging data platform use cases for GenAI and build repeatable GTM assets.

Requirements

Candidates should have a strong background in machine learning, deep learning, and data analytics with at least 8 years of hands-on experience. A BS, MS, or PhD in relevant fields is required, along with familiarity with various data ecosystems and experience working with ISVs.

Key skills

Machine Learning, Deep Learning, Data Analytics, Data Platforms, Distributed Systems, Analytics, Databases, Data Processing, NVIDIA Technologies, C/C++ Programming, Parallel Programming, Unstructured Data Processing, Customer Enablement, Technical Deep Dives, Architecture Reviews, POCs

Keywords

AI, Solutions Architect, Data Platform, Accelerated Data Analytics, Deep Learning, cuDF, Spark RAPIDS, Polars, Velox, cuVS, RAG, Agentic AI, Unstructured Data, Data Preparation, Retrieval Workflows, Technical Playbooks, Demos, Customer Training, ISVs, Technical Deep Dives, Benchmarks, Architecture Reviews, Data Processing Frameworks, Data Infrastructure, NVIDIA Libraries, Distributed Computing, Performance Analysis, Code Optimization, Debugging, Profiling